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interactive-widgets

Generate interactive widget descriptors for AI conversation streams.

Updated Mar 26, 2026
Search Tags:#rbac#interactive#frontend-backend#flutter#websocket#widgets#widget-protocol
One-click install
npx skills add https://github.com/William189189/boss-bidding --skill interactive-widgets-william189189
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: interactive-widgets
Source: https://github.com/William189189/boss-bidding/tree/main/.claude/skills/20-interactive-widgets
Command: npx skills add https://github.com/William189189/boss-bidding --skill interactive-widgets-william189189

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Interactive-widgets empower AI agents to embed dynamic, structured UI components inside conversation streams, transforming static text into interactive widgets that users can interact with in real time.

Core Features & Use Cases

  • LLM-driven widget generation for charts, forms, cards, and navigation
  • Streaming widget descriptors alongside natural language responses
  • RBAC-aware action handling and secure backend integrations
  • Flutter-based frontend rendering from widget descriptor JSON
  • Metadata and data-source provenance for traceability

Quick Start

Ask a question and watch the conversation stream render an interactive widget.

Frequently Asked Questions about interactive-widgets

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate interactive UI widgets within an AI conversation stream?▼

This approach allows AI agents to output structured UI components in real time, transforming static text into interactive widgets that users can engage with immediately during the chat.

Can I render dynamic chat widgets using a Flutter frontend and a Python backend?▼

The Flutter frontend handles rendering from the widget descriptor JSON, while the Python backend manages data fetching and streams the widget descriptors alongside natural language responses.

How does RBAC action handling work for interactive widgets in enterprise chat interfaces?▼

This mechanism securely manages user permissions within enterprise chat interfaces, validating each widget interaction against the user's role before executing backend data fetching or navigation requests.

What is the widget descriptor protocol for streaming LLM responses?▼

It includes metadata and data-source provenance for traceability, allowing frontend applications to accurately map and display interactive UI elements as they are streamed from the backend.

Do I need WebSocket connections to stream interactive widget descriptors?▼

While WebSocket is a standard protocol for this real-time streaming architecture, the core requirement is establishing a persistent streaming connection to push widget descriptor JSON updates to the frontend.

What are the limitations of embedding interactive widgets in AI conversation streams?▼

Additionally, the system requires compatible Python backend and Flutter frontend environments, meaning it may not integrate seamlessly with other tech stacks or legacy chat platforms lacking streaming endpoint support.

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